Early Talent

- Remote

**We welcome remote applicants from any US-based location**

Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!

Role:

Splunk is looking for highly motivated students to join our team. As a Machine Learning Engineer Intern, you will work on a real project (or a few) and have an opportunity to enjoy our dynamic, startup-like environment.

You will experience Splunking and what defines our culture while honing the skills which separate our development teams from others. Working to support internal and external customer needs, you will collaborate with multi-functional teams, receive mentorship, and gain insight into our values-driven process. Our goal is both to support your growth and development while empowering you for a successful start to your career.

Responsibilities:

You will be responsible for …

Achieving data science and software engineering goals set by you and your mentor
Learning about Splunk, both the product and the company
Working and socializing with the other interns as well as full-time employees

Basic Qualifications

Actively pursuing a Bachelor's, Master's, or PhD in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Mathematics or a related technical field, and a strong record of academic achievement.
Applicants should have a minimum of one quarter/semester remaining in their studies after their internship concludes.
Able to work 40 hours a week for 15 weeks from September-December 2023

Preferred Qualifications:

Strong interest in state-of-art Machine Learning techniques
Ability to work well with others in a fast-paced environment
Exposure to working within an agile environment
Strong communication skills, verbal and written
Passion for solving exciting problems
Hands-on experience in Machine Learning techniques, such as logistic regression, naïve Bayes, SVM, decision trees and random forests etc.
Solid understanding of statistical modeling/machine learning/data mining
Experience programming in a large software project – at school, professionally, or in an open source context

What We Offer You:

The opportunity to work with a set of extraordinarily talented and dedicated peers, all the way from engineering and QA to product management and customer support. Splunk flourishes with disruption and diversity.
A constant stream of new things for you to learn and an opportunity for growth and mentorship. We believe in growing engineers through ownership and leadership opportunities. We also believe mentors help both sides of the equation.
A stable, collaborative and supportive work environment.

We value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.

For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records.

Apply Now

Splunk's Hiring Practices

^{Splunk turns machine data into answers. Organizations use market-leading Splunk solutions with machine learning to solve their toughest IT, Internet of Things and security challenges.}

^{We value diversity, equity, and inclusion at Splunk and are an equal employment opportunity employer. Qualified applicants receive consideration for employment without regard to race, religion, color, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, marital status, age, physical or mental disability or medical condition, genetic information, veteran status, or any other consideration made unlawful by federal, state, or local laws. We consider qualified applicants with criminal histories, consistent with legal requirements. Click here to review the US Department of Labor’s EEO is The Law notice. Please click here to review Splunk’s Equal Employment Opportunity Policy Statement. If you need assistance or an accommodation to apply or during the hiring process, please let us know by completing our Accommodation Request form.}

^{Splunk also has policies in place to protect the personal information candidates disclose to us as part of the application process. Please click here to review Splunk’s Career Site Privacy Policy.

Splunk does not discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Please click here to review Splunk’s Pay Transparency Nondiscrimination Provision.

Splunk is committed to the health and safety of our employees and customers. We comply with local, state/territory, and federal regulations to prevent the spread of COVID-19 in the countries in which we operate. Splunk provides reasonable medical, religious, or other legally required accommodations for eligible employees.

Splunk is also committed to providing access to all individuals who are seeking information from our website. Any individual using assistive technology (such as a screen reader, Braille reader, etc.) who experiences difficulty accessing information on any part of Splunk’s website should send comments to accessiblecareers@splunk.com. Please include the nature of the accessibility problem and your e-mail or contact address. If the accessibility problem involves a particular page, the message should include the URL of that page.

Splunk doesn't accept unsolicited agency resumes and won't pay fees to any third-party agency or firm that doesn't have a signed agreement with Splunk.}